TOKYO – June 12, 2026 – Jinba, the Y Combinator–backed enterprise AI company already serving more than 40,000 users at banks and insurers, today launched an AI consulting practice for regulated financial institutions. The model pairs strategy with delivery: Jinba audits a bank’s manual processes, hands over a board-ready blueprint, then builds and deploys the working workflows inside the client’s own environment, with go-live typically measured in weeks.
The practice targets a problem that has stalled AI across financial services. Banks and insurers have spent two years buying strategy from large consulting firms, then watching the recommendations sit unbuilt. The pressure sharpened in 2026, as boards push to move AI from pilots into production and compliance teams refuse to sign off on systems they can’t audit. Jinba’s answer is AI consulting for financial services that ends in deployed, auditable systems running in production.
Jinba doesn’t start from a blank page. The company has built 224 workflows across 29 banking and insurance departments, covering lending and credit, AML and financial crime, compliance surveillance, claims intake, policy-clause review, and internal audit. A lending team can hand off credit-memo drafting and covenant monitoring; an AML desk can route alert triage and sanctions screening; a claims unit can take first-notice-of-loss intake off people’s desks. Each one is demoed and ready to run against a client’s own data, with 193+ public use cases to browse before a first call.
The team behind the practice is unusual for the category: a founding group that pairs machine-learning research with McKinsey consulting experience. That mix shapes how engagements run. Every project is built on Jinba’s own platform, so the AI strategy consulting and the system that delivers it are one and the same.
For regulated buyers, how the work is deployed matters as much as how fast. Jinba runs on-premise, with single sign-on, role-based access control, and full audit logging, so the compliance workflows it ships hold up to the same review as the manual processes they replace. The company is SOC 2 compliant and built for air-gapped environments that cloud AI tools can’t reach.
Jinba already runs inside Fortune Global 500 institutions across banking, insurance, and manufacturing. The consulting practice extends that reach, giving regulated buyers a single team for both the plan and the build, then keeping that team on through go-live and tuning.
“Banks don’t have a strategy problem, they have a deployment problem,” said Shoya Matsumori, co-founder and CEO of Jinba. “They’ve already paid for the decks. What’s missing is a partner who will build the thing, put it into production, and still be there when the auditors show up. That’s the job.”
Jinba is opening a free 30-minute strategy session to financial institutions, built around the buyer’s own messiest workflow. Teams can request a free strategy session to get started.
About Jinba
Jinba is a Y Combinator–backed enterprise AI company that lets banks, insurers, and other regulated organizations build and deploy production-ready AI workflows by describing them in plain language. Its two products, Jinba Flow for building workflows and Jinba App for running them, deploy on-premise or in private cloud with SOC 2 compliance, audit logging, and enterprise access controls built in. Jinba serves more than 40,000 enterprise users, including teams at Fortune Global 500 financial institutions. Learn more at jinba.io.
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Website: https://jinba.io